Statistical Modeling for Biomedical Researchers

Statistical Modeling for Biomedical Researchers PDF Author: William D. Dupont
Publisher: Cambridge University Press
ISBN: 0521849527
Category : Medical
Languages : en
Pages : 543

Book Description
A second edition of the easy-to-use standard text guiding biomedical researchers in the use of advanced statistical methods.

Statistical Modeling for Biomedical Researchers

Statistical Modeling for Biomedical Researchers PDF Author: William D. Dupont
Publisher: Cambridge University Press
ISBN: 1139643819
Category : Medical
Languages : en
Pages : 543

Book Description
The second edition of this standard text guides biomedical researchers in the selection and use of advanced statistical methods and the presentation of results to clinical colleagues. It assumes no knowledge of mathematics beyond high school level and is accessible to anyone with an introductory background in statistics. The Stata statistical software package is again used to perform the analyses, this time employing the much improved version 10 with its intuitive point and click as well as character-based commands. Topics covered include linear, logistic and Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measure analysis of variance. Restricted cubic splines are used to model non-linear relationships. Each method is introduced in its simplest form and then extended to cover more complex situations. An appendix will help the reader select the most appropriate statistical methods for their data. The text makes extensive use of real data sets available at http://biostat.mc.vanderbilt.edu/dupontwd/wddtext/.

Statistical Modeling for Biomedical Researchers

Statistical Modeling for Biomedical Researchers PDF Author:
Publisher:
ISBN: 9780511480102
Category : Medicine
Languages : en
Pages : 522

Book Description
New edition of the easy-to-use standard text guiding biomedical researchers in the use of advanced statistical methods.

Statistical Modeling in Biomedical Research

Statistical Modeling in Biomedical Research PDF Author: Yichuan Zhao
Publisher: Springer Nature
ISBN: 3030334163
Category : Medical
Languages : en
Pages : 495

Book Description
This edited collection discusses the emerging topics in statistical modeling for biomedical research. Leading experts in the frontiers of biostatistics and biomedical research discuss the statistical procedures, useful methods, and their novel applications in biostatistics research. Interdisciplinary in scope, the volume as a whole reflects the latest advances in statistical modeling in biomedical research, identifies impactful new directions, and seeks to drive the field forward. It also fosters the interaction of scholars in the arena, offering great opportunities to stimulate further collaborations. This book will appeal to industry data scientists and statisticians, researchers, and graduate students in biostatistics and biomedical science. It covers topics in: Next generation sequence data analysis Deep learning, precision medicine, and their applications Large scale data analysis and its applications Biomedical research and modeling Survival analysis with complex data structure and its applications.

Statistical Modeling in Biomedical Research

Statistical Modeling in Biomedical Research PDF Author:
Publisher:
ISBN: 9783030334178
Category : Biometry
Languages : en
Pages : 495

Book Description
This edited collection discusses the emerging topics in statistical modeling for biomedical research. Leading experts in the frontiers of biostatistics and biomedical research discuss the statistical procedures, useful methods, and their novel applications in biostatistics research. Interdisciplinary in scope, the volume as a whole reflects the latest advances in statistical modeling in biomedical research, identifies impactful new directions, and seeks to drive the field forward. It also fosters the interaction of scholars in the arena, offering great opportunities to stimulate further collaborations. This book will appeal to industry data scientists and statisticians, researchers, and graduate students in biostatistics and biomedical science. It covers topics in: Next generation sequence data analysis Deep learning, precision medicine, and their applications Large scale data analysis and its applications Biomedical research and modeling Survival analysis with complex data structure and its applications.

Applied Biostatistical Principles and Concepts

Applied Biostatistical Principles and Concepts PDF Author: Laurens Holmes, Jr.
Publisher: Routledge
ISBN: 1498741207
Category : Medical
Languages : en
Pages : 288

Book Description
The past three decades have witnessed modern advances in statistical modeling and evidence discovery in biomedical, clinical, and population-based research. With these advances come the challenges in accurate model stipulation and application of models in scientific evidence discovery Applied Biostatistical Principles and Concepts provides practical knowledge using biological and biochemical specimen/samples in order to understand health and disease processes at cellular, clinical, and population levels. Concepts and techniques provided will help researchers design and conduct studies, then translate data from bench to clinics in attempt to improve the health of patients and populations. This book is suitable for both clinicians and health or biological sciences students. It presents the reality in statistical modelling of health research data in a concise manner that will address the issue of "big data" type I error tolerance and probability value, effect size and confidence interval for precision, effect measure modification and interaction as well as confounders, thus allowing for more valid inferences and yielding results that are more reliable, valid and accurate.

Statistical Methods for the Analysis of Biomedical Data

Statistical Methods for the Analysis of Biomedical Data PDF Author: Robert F. Woolson
Publisher: John Wiley & Sons
ISBN: 111803130X
Category : Medical
Languages : en
Pages : 714

Book Description
Dieser Band behandelt eine Reihe statistischer Themen, die bei der Analyse biologischer und medizinischer Daten allgemein Anwendung finden. Diese 2. Auflage wurde komplett überarbeitet, aktualisiert und erweitert. Einige Kapitel sind neu hinzugekommen, u.a. zur multiplen linearen Regression in der biomedizinischen Forschung. Der Stoff ist so gegliedert, dass der Leser den Text unabhängig von der jeweiligen statistischen Methode leicht nach Problemstellungen durchsuchen kann. Mit zahlreichen durchgearbeiteten Beispielen, die detaillierte Lösungsangaben zu Problemen aus der Praxis liefern.

Essential Statistical Methods for Medical Statistics

Essential Statistical Methods for Medical Statistics PDF Author: J. Philip Miller
Publisher: Elsevier
ISBN: 0444537384
Category : Mathematics
Languages : en
Pages : 363

Book Description
Essential Statistical Methods for Medical Statistics presents only key contributions which have been selected from the volume in the Handbook of Statistics: Medical Statistics, Volume 27 (2009). While the use of statistics in these fields has a long and rich history, the explosive growth of science in general, and of clinical and epidemiological sciences in particular, has led to the development of new methods and innovative adaptations of standard methods. This volume is appropriately focused for individuals working in these fields. Contributors are internationally renowned experts in their respective areas. Contributors are internationally renowned experts in their respective areas Addresses emerging statistical challenges in epidemiological, biomedical, and pharmaceutical research Methods for assessing Biomarkers, analysis of competing risks Clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs Structural equations modelling and longitudinal data analysis

Statistical Thinking in Epidemiology

Statistical Thinking in Epidemiology PDF Author: Yu-Kang Tu
Publisher: CRC Press
ISBN: 1420099922
Category : Mathematics
Languages : en
Pages : 231

Book Description
While biomedical researchers may be able to follow instructions in the manuals accompanying the statistical software packages, they do not always have sufficient knowledge to choose the appropriate statistical methods and correctly interpret their results. Statistical Thinking in Epidemiology examines common methodological and statistical problems

Handbook of Statistical Bioinformatics

Handbook of Statistical Bioinformatics PDF Author: Henry Horng-Shing Lu
Publisher: Springer Nature
ISBN: 3662659026
Category : Science
Languages : en
Pages : 406

Book Description
Now in its second edition, this handbook collects authoritative contributions on modern methods and tools in statistical bioinformatics with a focus on the interface between computational statistics and cutting-edge developments in computational biology. The three parts of the book cover statistical methods for single-cell analysis, network analysis, and systems biology, with contributions by leading experts addressing key topics in probabilistic and statistical modeling and the analysis of massive data sets generated by modern biotechnology. This handbook will serve as a useful reference source for students, researchers and practitioners in statistics, computer science and biological and biomedical research, who are interested in the latest developments in computational statistics as applied to computational biology.
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